Year-end Sale % OFF 
Abstract
Abstract This extensive study investigated the influence of microstructure on the effective transverse thermal conductivity of unidirectional glass fiber reinforced composites, in which the fibers are randomly dispersed and the thermal conductivity of polyethylene matrix is a function of test temperature. The microstructure is characterized by parameters such as the number of fibers, fiber volume fraction, fiber size, fiber arrangement and thermal property contrast. Firstly, a simple algorithm is developed to automatically generate closest-to-real random array of fibers in unit cell to reconstruct the composite microstructure. Then, the established two-dimensional random two-component composite unit cell is solved using finite element simulation and the obtained effective thermal conductivities are compared with the theoretical predictions and the experimental results. Subsequently, the effects of microstructure parameters and test temperature are investigated, respectively. It is found that the finite element predicted properties are in very good agreement with the experimental predictions, while they are always lower than the analytically predicted properties. These results can find applications in the design of composite materials taking into account the fiber distribution morphology.
Highlights
IntroductionThis work aims to the prediction of transverse effective thermal conductivity of unidirectional composite materials containing randomly dispersed long fibers by finite element simulation
The incorporation of fibers, i.e. carbon fibers, glass fibers, boron fibers, and microparticles/nanoparticles in matrixOpen Access. alone 4.0 LicenseThermal conductivity of unidirectional composites consisting of randomly dispersed glass fibersThis work aims to the prediction of transverse effective thermal conductivity of unidirectional composite materials containing randomly dispersed long fibers by finite element simulation
This extensive study investigated the influence of microstructure on the effective transverse thermal conductivity of unidirectional glass fiber reinforced composites, in which the fibers are randomly dispersed and the thermal conductivity of polyethylene matrix is a function of test temperature
Summary
This work aims to the prediction of transverse effective thermal conductivity of unidirectional composite materials containing randomly dispersed long fibers by finite element simulation. With given fiber size and number of fibers, the present algorithm really randomly generates the positions of circular fibers for a specific volume fraction in a square matrix region by requiring that the fibers don’t intersect. Such condition can be ensured by making the distances between the centers of the new fiber and the existing fibers that have been created greater than the summation of their radius. The resulted predictions are analyzed and compared with those from various analytical models [11] and experiments [34]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
